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Constructive deterministic PRAM simulation on a mesh-connected computer
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Source ACM Symposium on Parallel Algorithms and Architectures archive
Proceedings of the sixth annual ACM symposium on Parallel algorithms and architectures table of contents
Cape May, New Jersey, United States
Pages: 248 - 256  
Year of Publication: 1994
ISBN:0-89791-671-9
Authors
Andrea Pietracaprina  Univ. di Padova, Padua, Italy
Geppino Pucci  Univ. di Padova, Padua, Italy
Jop F. Sibeyn  Max-Planck Institut fu¨r Informatik, Saarbru¨cken, Germany
Sponsors
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
SIGARCH: ACM Special Interest Group on Computer Architecture
European Comp Soc : European Computer Society
Publisher
ACM  New York, NY, USA
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ABSTRACT

We present a constructive deterministic simulation of a PRAM with n processors and m = n &agr; shared variables, 1 < &agr; ≤ 2, on an n-node mesh-connected computer where each node hosts a processor and a memory module. At the core of the simulation is a Hierarchical Memory Organization Scheme (HMOS) that governs the distribution of the PRAM variables (each replicated into a number of copies) among the modules. The HMOS consists of a cascade of explicit bipartite graphs whose expansion properties, combined with suitable access and routing protocols, yield a time performance that, for &agr; < 3/2, is close to the Wn bound imposed by the network's diameter, and that, for &agr; ≥ 3/2, is a function of &agr; never exceeding On5/8 .


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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REVIEW

"Vladik Ya. Kreinovich : Reviewer"

The parallel random access machine (PRAM) is currently the most widely used general model for parallel computation. Parallel algorithms are usually designed for a PRAM. The PRAM model is not technologically realistic, however, because in a PRA  more...

Collaborative Colleagues:
Andrea Pietracaprina: colleagues
Geppino Pucci: colleagues
Jop F. Sibeyn: colleagues